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Risk assessment method and server for optimized combination

A risk assessment and optimization combination technology, applied in the field of big data analysis, can solve problems such as inability to maximize user profits, inability to effectively evaluate market investment risks, and inability to make user profits

Inactive Publication Date: 2021-05-07
深圳市豪斯莱科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art, one of the purposes of the present invention is to provide a risk assessment method for optimizing the combination, which can solve the problem that the existing transaction management system alone analyzes and predicts some transaction data of the target securities. The purpose of profit maximization, and the problem of being unable to effectively evaluate the investment risk of the market
[0005] The second purpose of the present invention is to provide a risk assessment server for optimizing combinations, which can solve the problem that the existing transaction management system alone analyzes and predicts some transaction data of target securities, which cannot maximize the user's profit, and also The problem of being unable to effectively assess the investment risk of the market

Method used

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  • Risk assessment method and server for optimized combination
  • Risk assessment method and server for optimized combination
  • Risk assessment method and server for optimized combination

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] Such as Figure 1-4 As shown, a risk assessment method for optimizing a portfolio includes the following steps:

[0057] S1: Obtain the transaction information of any one or more securities, use the transaction information to form a transaction data set, and store it in the storage, wherein the transaction information includes the opening price, closing price, trading volume and average price;

[0058] Specifically, by obtaining the transaction information of any one or more securities that have been listed or have been listed, and using the transaction information of these securities to form a transaction data set, the transaction data set is used as a regression equation training set and / or training set, such as figure 2 As shown in the figure, the table shown in the figure is the transaction information corresponding to several securities with better performance in the US stock market.

[0059] S2: Analyze the transaction data set and obtain the evaluation coefficie...

Embodiment 2

[0110] A risk assessment server for optimizing combinations, including memory and processor;

[0111] a memory for storing program instructions;

[0112] The processor is configured to run the program instructions to execute the risk assessment method for optimizing combinations as described in the first embodiment.

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Abstract

The invention discloses a risk assessment method and server for optimized combination, and the method comprises the steps: forming a transaction data set through the transaction information of one or more than one securities in a securities market, and fitting an assessment coefficient beta i and an assessment factor Xi through the transaction data set; and then loading the evaluation coefficient [beta]i and the evaluation factor Xi into a regression equation, so that the yield rate of the target security is solved, and investment funds are allocated according to the yield rate to obtain the maximum income.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a risk assessment method and server for optimizing combinations. Background technique [0002] With the development and application of big data analysis, it is becoming more and more common to apply big data analysis technology to investment fields and medical fields. Through big data analysis technology, the theoretical foundations of financial investment theory, statistics and probability theory are integrated, and the Stock market transactions are optimized and managed. At the same time, as the risk increases, it is also an urgent problem to be solved to improve the profit of the transaction and reduce the transaction risk through the risk monitoring of the transaction process. [0003] At present, there are a large number of uneven transaction management systems on the market, but most of them analyze and predict some transaction data of the target securities alone...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/04G06Q40/06G06Q10/06
CPCG06Q10/0635G06Q40/04G06Q40/06
Inventor 陈增和黄哲毅林希温志刚赖浩哲程少环刁奇标宋一帆余良威梁振宇欧椿琪
Owner 深圳市豪斯莱科技有限公司
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